An Overview of Time-Based Computing with Stochastic Constructs
An Overview of Time-Based Computing with Stochastic Constructs
复制标题
具有随机结构的基于时间的计算概述
DOI：
10.1109/mm.2017.4241345
复制
发表时间：
2017
期刊：
影响因子：
3.6
通讯作者：
R. Harjani
中科院分区：
文献类型：
--
作者：
M. Najafi;Shiva Jamali;D. Lilja;Marc D. Riedel;K. Bazargan;R. Harjani
基于时间的数据计算是随机计算研究的最新演变。与随机计算一样，可以以较低的面积成本计算复杂功能。与随机计算不同，与常规二进制辐射的计算相比，潜伏期和能源效率非常有利。在本文中，作者在时间编码的信号上审查和评估算术操作的设计和实施，特别关注低功率。讨论了优势，挑战和潜在应用。
Computing on time-based data is a recent evolution of research in stochastic computing. As with stochastic computing, complex functions can be computed with remarkably low area cost. Unlike stochastic computing, the latency and energy efficiency are very favorable compared to computations on conventional binary radix. In this article, the authors review and evaluate the design and implementation of arithmetic operations on time-encoded signals, with a particular focus on low power. The advantages, challenges, and potential applications are discussed.